MICRO-512 / 3 credits

Teacher(s): Sage Daniel, Unser Michaël, Van De Ville Dimitri Nestor Alice

Language: English


Summary

Study of advanced image processing; mathematical imaging. Development of image-processing software and prototyping in Jupyter Notebooks; application to real-world examples in industrial vision and biomedical imaging.

Content

Learning Prerequisites

Required courses


Image Processing I


Recommended courses
Signals and Systems I & II, linear algebra, analysis


Important concepts to start the course
Basic image processing and related analytical tools (Fourier transform, z-tranform, etc.)

Learning Outcomes

  • Construct interpolation models and continuous-discrete representations
  • Analyze image transforms
  • Design image-reconstruction algorithms
  • Formalize multiresolution representations using wavelets
  • Perform image analysis and feature extraction
  • Design image-processing software
  • Design image reconstruction algorithms

Transversal skills

  • Plan and carry out activities in a way which makes optimal use of available time and other resources.
  • Manage priorities.
  • Access and evaluate appropriate sources of information.
  • Use both general and domain specific IT resources and tools

Assessment methods

The objectives of the course will be assessed as follows:

  • 70% final exam
  • 30% IP labs

Resources

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exam form: Written (summer session)
  • Subject examined: Image processing II
  • Lecture: 3 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11   CM2 
11-12    
12-13    
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     

Thursday, 10h - 13h: Lecture CM2

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